Zhengqing Yuan

According to our database, Zhengqing Yuan authored at least 34 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?

Yichen Feng, Yuetai Li, Chunjiang Liu, Yuanyuan Chen, Fengqing Jiang, Yue Huang, Hang Hua, Zhengqing Yuan, Kaiyuan Zheng, Luyao Niu, Bhaskar Ramasubramanian, Basel Alomair, Xiangliang Zhang, Misha Sra, Zichen Chen, Radha Poovendran, Zhangchen Xu

CoRR, May, 2026

NARRA-Gym for Evaluating Interactive Narrative Agents.

Yue Huang, Yuchen Ma, Jiayi Ye, Wenjie Wang, Zipeng Ling, Xingjian Hu, Yuexing Hao, Zichen Chen, Zhangchen Xu, Yunhong He, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Chaoran Chen, Toby Jia-Jun Li, Stefan Feuerriegel, Xiangliang Zhang

CoRR, May, 2026

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models.

Han Bao, Penghao Zhang, Yue Huang, Zhengqing Yuan, Yanchi Ru, Rui Su, Yujun Zhou, Xiangqi Wang, Kehan Guo, Nitesh V. Chawla, Yanfang Ye, Xiangliang Zhang

CoRR, April, 2026

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU.

Zhengqing Yuan, Hanchi Sun, Lichao Sun, Yanfang Ye

CoRR, April, 2026

MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine.

Kai Zhang, Zhengqing Yuan, Cheng Peng, Songlin Zhao, Mengxian Lyu, Ziyi Chen, Yanfang Ye, Wei Liu, Ying Zhang, Kaleb E. Smith, Lifang He, Lichao Sun, Yonghui Wu

CoRR, March, 2026

CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era.

Zhengqing Yuan, Kaiwen Shi, Zheyuan Zhang, Lichao Sun, Nitesh V. Chawla, Yanfang Ye

CoRR, February, 2026

Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction.

Han Bao, Zheyuan Zhang, Pengcheng Jing, Zhengqing Yuan, Kaiwen Shi, Yanfang Ye

CoRR, February, 2026

Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation.

Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang, Huichi Zhou, Zhengqing Yuan, Zhifan Gao, Lei Zhu, Giorgos Papanastasiou, Yingying Fang, Guang Yang

Medical Image Anal., 2026

BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Model.

Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering.

Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use.

Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering.

Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation.

Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions.

Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models.

Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye

CoRR, December, 2025

ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions.

Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, September, 2025

Graph Foundation Models: A Comprehensive Survey.

Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

CoRR, May, 2025

EfficientLLM: Efficiency in Large Language Models.

Zhengqing Yuan, Weixiang Sun, Yixin Liu, Huichi Zhou, Rong Zhou, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye

CoRR, May, 2025

2024

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?

Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang

CoRR, 2024

MLP-KAN: Unifying Deep Representation and Function Learning.

Yunhong He, Yifeng Xie, Zhengqing Yuan, Lichao Sun

CoRR, 2024

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation.

Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun

CoRR, 2024

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos.

Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun

CoRR, 2024

Bora: Biomedical Generalist Video Generation Model.

Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun

CoRR, 2024

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era.

Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun

CoRR, 2024

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework.

Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun

CoRR, 2024

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun

CoRR, 2024

Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models.

Yunhong He, Jianling Qiu, Wei Zhang, Zhengqing Yuan

CoRR, 2024

2023

Effective acoustic parameters for automatic classification of performed and synthesized Guzheng music.

Huiwen Xue, Chenxin Sun, Mingcheng Tang, Chenrui Hu, Zhengqing Yuan, Min Huang, Zhongzhe Xiao

EURASIP J. Audio Speech Music. Process., December, 2023

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones.

Zhengqing Yuan, Zhaoxu Li, Lichao Sun

CoRR, 2023

ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4.

Zhengqing Yuan, Huiwen Xue, Xinyi Wang, Yongming Liu, Zhuanzhe Zhao, Kun Wang

CoRR, 2023

Auto-Learning: An Adversarial Process of Two Pre-trained Models for Natural Language Generation.

Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yuelin Lu

CoRR, 2023

RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding.

Zhengqing Yuan, Xiaolong Zhang, Yue Wang, Xuecong Hou, Huiwen Xue, Zhuanzhe Zhao, Yongming Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems.

Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu

Proceedings of the Intelligent Systems and Applications, 2023

2022

RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding.

Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang

CoRR, 2022